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James P. Ahrens
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- affiliation: Los Alamos National Laboratory, NM, USA
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Journal Articles
- 2024
- [j41]Daoce Wang
, Jesus Pulido
, Pascal Grosset
, Sian Jin
, Jiannan Tian
, Kai Zhao
, James P. Ahrens
, Dingwen Tao
:
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. IEEE Trans. Parallel Distributed Syst. 35(3): 421-438 (2024) - [j40]Rostyslav Hnatyshyn, Jieqiong Zhao
, Danny Perez, James P. Ahrens
, Ross Maciejewski
:
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. IEEE Trans. Vis. Comput. Graph. 30(1): 727-737 (2024) - 2022
- [j39]James P. Ahrens:
Technology Trends and Challenges for Large-Scale Scientific Visualization. IEEE Computer Graphics and Applications 42(4): 114-119 (2022) - [j38]Soumya Dutta
, Terece L. Turton, David Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren:
In situ feature analysis for large-scale multiphase flow simulations. J. Comput. Sci. 63: 101773 (2022) - [j37]Hamish A. Carr
, Oliver Rübel, Gunther H. Weber
, James P. Ahrens
:
Optimization and Augmentation for Data Parallel Contour Trees. IEEE Trans. Vis. Comput. Graph. 28(10): 3471-3485 (2022) - 2021
- [j36]Ayan Biswas
, James P. Ahrens
, Soumya Dutta
, Jordan M. Musser
, Ann S. Almgren
, Terece L. Turton
:
Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. Comput. Sci. Eng. 23(1): 75-82 (2021) - [j35]Soumya Dutta
, Terece L. Turton
, James P. Ahrens
:
A Confidence-Guided Technique for Tracking Time-Varying Features. Comput. Sci. Eng. 23(2): 84-92 (2021) - [j34]Hamish A. Carr, Gunther H. Weber
, Christopher M. Sewell, Oliver Rübel, Patricia K. Fasel, James P. Ahrens
:
Scalable Contour Tree Computation by Data Parallel Peak Pruning. IEEE Trans. Vis. Comput. Graph. 27(4): 2437-2454 (2021) - [j33]Ayan Biswas
, Soumya Dutta
, Earl Lawrence
, John Patchett, Jon C. Calhoun, James P. Ahrens
:
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. 27(12): 4439-4454 (2021) - 2020
- [j32]Ayan Biswas
, Christopher M. Biwer, David J. Walters
, James P. Ahrens
, Devin Francom, Earl Lawrence, Richard L. Sandberg
, D. Anthony Fredenburg, Cynthia Bolme:
An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study. Comput. Sci. Eng. 22(2): 44-54 (2020) - [j31]Garrett Aldrich
, Jonas Lukasczyk, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan, Christoph Garth
, Heike Leitte
, James P. Ahrens
, Bernd Hamann:
A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. Comput. Sci. Eng. 22(2): 64-76 (2020) - [j30]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta
, Jean M. Favre, Thomas Fogal, Steffen Frey
, Christoph Garth, Berk Geveci, William F. Godoy
, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith
, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin
, Silvio Rizzi, David H. Rogers, Sudhanshu Sane
, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber
, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - 2019
- [j29]Soumya Dutta
, Ayan Biswas
, James P. Ahrens
:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. Entropy 21(7): 699 (2019) - [j28]Daniel Orban, Daniel F. Keefe, Ayan Biswas
, James P. Ahrens
, David H. Rogers:
Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space. IEEE Trans. Vis. Comput. Graph. 25(1): 256-266 (2019) - [j27]James P. Ahrens:
IEEE Visualization and Graphics Technical Committee (VGTC). IEEE Trans. Vis. Comput. Graph. 25(5): vi (2019) - 2018
- [j26]John Patchett
, James P. Ahrens
:
Optimizing Scientist Time through In Situ Visualization and Analysis. IEEE Computer Graphics and Applications 38(1): 119-127 (2018) - [j25]Jesus Pulido, Daniel Livescu
, Kalin Kanov
, Randal C. Burns
, Curtis Canada, James P. Ahrens
, Bernd Hamann:
Remote visual analysis of large turbulence databases at multiple scales. J. Parallel Distributed Comput. 120: 115-126 (2018) - [j24]Roxana Bujack, Terece L. Turton
, Francesca Samsel
, Colin Ware, David H. Rogers, James P. Ahrens
:
The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps. IEEE Trans. Vis. Comput. Graph. 24(1): 923-933 (2018) - 2017
- [j23]Gennady L. Andrienko
, Shixia Liu, John T. Stasko, Niklas Elmqvist
, Bongshin Lee, Kwan-Liu Ma, James P. Ahrens
, Robert M. Kirby, Jos B. T. M. Roerdink:
Preface. IEEE Trans. Vis. Comput. Graph. 23(1): xi-xv (2017) - 2016
- [j22]Andrew C. Bauer, Hasan Abbasi, James P. Ahrens
, Hank Childs, Berk Geveci, Scott Klasky, Kenneth Moreland, Patrick O'Leary, Venkatram Vishwanath, Brad Whitlock, E. Wes Bethel:
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms. Comput. Graph. Forum 35(3): 577-597 (2016) - [j21]Patrick O'Leary, James P. Ahrens
, Sébastien Jourdain
, Scott Wittenburg, David H. Rogers, Mark R. Petersen
:
Cinema image-based in situ analysis and visualization of MPAS-ocean simulations. Parallel Comput. 55: 43-48 (2016) - [j20]Kary L. Myers
, Earl Lawrence
, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor
, Jon Woodring, Joanne Wendelberger
, Jim Ahrens
:
Partitioning a Large Simulation as It Runs. Technometrics 58(3): 329-340 (2016) - [j19]Jonathan Woodring, Mark R. Petersen
, Andre Schmeißer
, John Patchett, James P. Ahrens
, Hans Hagen:
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model. IEEE Trans. Vis. Comput. Graph. 22(1): 857-866 (2016) - 2015
- [j18]James P. Ahrens
:
Increasing Scientific Data Insights about Exascale Class Simulations under Power and Storage Constraints. IEEE Computer Graphics and Applications 35(2): 8-11 (2015) - 2014
- [j17]Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers
, Joanne Wendelberger
, James P. Ahrens
:
Effective and efficient data sampling using bitmap indices. Clust. Comput. 17(4): 1081-1100 (2014) - 2012
- [j16]Sean Williams, Mark R. Petersen
, Matthew Hecht
, Mathew Maltrud, John Patchett, James P. Ahrens
, Bernd Hamann:
Interface Exchange as an Indicator for Eddy Heat Transport. Comput. Graph. Forum 31(3pt3): 1125-1134 (2012) - [j15]James P. Ahrens
, Kurt Debattista:
Guest Editor's Introduction: Special Section on the Eurographics Symposium on Parallel Graphics and Visualization (EGPGV). IEEE Trans. Vis. Comput. Graph. 18(1): 3-4 (2012) - 2011
- [j14]Sean Williams, Matthew Hecht
, Mark R. Petersen
, Richard Strelitz, Mathew Maltrud, James P. Ahrens
, Mario Hlawitschka, Bernd Hamann:
Visualization and Analysis of Eddies in a Global Ocean Simulation. Comput. Graph. Forum 30(3): 991-1000 (2011) - [j13]Jonathan Woodring, James P. Ahrens
, J. Figg, Joanne Wendelberger
, Salman Habib, Katrin Heitmann:
In-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysis. Comput. Graph. Forum 30(3): 1151-1160 (2011) - [j12]James P. Ahrens
, Bruce Hendrickson, Gabrielle Long, Steve Miller, Robert B. Ross, Dean N. Williams:
Data-Intensive Science in the US DOE: Case Studies and Future Challenges. Comput. Sci. Eng. 13(6): 14-24 (2011) - [j11]Sean Williams, Mark R. Petersen
, Peer-Timo Bremer, Matthew Hecht
, Valerio Pascucci
, James P. Ahrens
, Mario Hlawitschka, Bernd Hamann:
Adaptive Extraction and Quantification of Geophysical Vortices. IEEE Trans. Vis. Comput. Graph. 17(12): 2088-2095 (2011) - 2010
- [j10]James P. Ahrens
, Han-Wei Shen:
Guest Editors' Introduction: Ultrascale Visualization. IEEE Computer Graphics and Applications 30(3): 20-21 (2010) - [j9]James P. Ahrens
, Katrin Heitmann, Mark R. Petersen
, Jonathan Woodring, Sean Williams, Patricia K. Fasel, Christine Ahrens
, Chung-Hsing Hsu, Berk Geveci:
Verifying Scientific Simulations via Comparative and Quantitative Visualization. IEEE Computer Graphics and Applications 30(6): 16-28 (2010) - 2009
- [j8]Emanuele Santos, Lauro Didier Lins, James P. Ahrens
, Juliana Freire
, Cláudio T. Silva:
VisMashup: Streamlining the Creation of Custom Visualization Applications. IEEE Trans. Vis. Comput. Graph. 15(6): 1539-1546 (2009) - 2008
- [j7]Erik W. Anderson, James P. Ahrens
, Katrin Heitmann, Salman Habib, Cláudio T. Silva:
Provenance in Comparative Analysis: A Study in Cosmology. Comput. Sci. Eng. 10(3): 30-37 (2008) - 2007
- [j6]Patrick S. McCormick, Jeff T. Inman, James P. Ahrens
, Jamaludin Mohd-Yusof
, Greg Roth, Sharen J. Cummins:
Scout: a data-parallel programming language for graphics processors. Parallel Comput. 33(10-11): 648-662 (2007) - 2001
- [j5]James P. Ahrens
, Kristi Brislawn, Ken Martin, Berk Geveci, C. Charles Law, Michael E. Papka
:
Large-Scale Data Visualization Using Parallel Data Streaming. IEEE Computer Graphics and Applications 21(4): 34-41 (2001) - [j4]Joe Kniss, Patrick S. McCormick, Allen McPherson, James P. Ahrens
, James S. Painter, Alan Keahey, Charles D. Hansen:
Interactive Texture-Based Volume Rendering for Large Data Sets. IEEE Computer Graphics and Applications 21(4): 52-61 (2001) - 2000
- [j3]Katarzyna Keahey, Peter H. Beckman, James P. Ahrens
:
Ligature: Component Architecture for High Performance Applications. Int. J. High Perform. Comput. Appl. 14(4): 347-356 (2000) - 1998
- [j2]Patrick S. McCormick, James P. Ahrens
:
Visualization of Wildfire Simulations. IEEE Computer Graphics and Applications 18(2): 17-19 (1998) - 1996
- [j1]Rex M. Jakobovits, Lara M. Lewis, James P. Ahrens
, Linda G. Shapiro, Steven L. Tanimoto, James F. Brinkley:
A Visual Database Environment for Scientific Research. J. Vis. Lang. Comput. 7(4): 361-375 (1996)
Conference and Workshop Papers
- 2023
- [c82]Daoce Wang
, Jesus Pulido
, Pascal Grosset
, Jiannan Tian
, Sian Jin
, Houjun Tang
, Jean M. Sexton
, Sheng Di
, Kai Zhao
, Bo Fang
, Zarija Lukic
, Franck Cappello
, James P. Ahrens
, Dingwen Tao
:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC 2023: 44:1-44:15 - [c81]Daoce Wang
, Jesus Pulido
, Pascal Grosset
, Jiannan Tian
, James P. Ahrens
, Dingwen Tao
:
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. SC Workshops 2023: 263-271 - 2022
- [c80]Quincy Wofford
, James Hurd
, Hugh Greenberg
, Patrick G. Bridges
, James P. Ahrens
:
Complete Provenance for Application Experiments with Containers and Hardware Interface Metadata. CANOPIE-HPC@SC 2022: 12-24 - [c79]Daoce Wang, Jesus Pulido, Pascal Grosset
, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
:
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. HPDC 2022: 135-147 - [c78]Soumya Dutta, Dan Lipsa, Terece L. Turton, Berk Geveci, James P. Ahrens:
In Situ Analysis and Visualization of Extreme-Scale Particle Simulations. ISC Workshops 2022: 283-294 - [c77]Jinzhen Wang, Pascal Grosset
, Terece L. Turton
, James P. Ahrens
:
Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. DRBSD@SC 2022: 11-20 - 2021
- [c76]Soumya Dutta
, Humayra Tasnim, Terece L. Turton, James P. Ahrens:
In Situ Adaptive Spatio-Temporal Data Summarization. IEEE BigData 2021: 315-321 - [c75]Nathan Marshak, Pascal Grosset
, Aaron Knoll, James P. Ahrens, Chris R. Johnson:
Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering. EGPGV@EuroVis 2021: 31-35 - [c74]Sian Jin, Jesus Pulido
, Pascal Grosset
, Jiannan Tian, Dingwen Tao
, James P. Ahrens
:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. HPDC 2021: 45-56 - [c73]Pascal Grosset
, James P. Ahrens
:
Lightweight Interface for In Situ Analysis and Visualization of Particle Data. ISAV@SC 2021: 12-17 - [c72]Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
:
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. EuroVis (Short Papers) 2021: 55-59 - 2020
- [c71]Karen C. Tsai
, Roxana Bujack
, Berk Geveci, Utkarsh Ayachit, James P. Ahrens:
Approaches for In Situ Computation of Moments in a Data-Parallel Environment. EGPGV@Eurographics/EuroVis 2020: 57-68 - [c70]Sian Jin, Pascal Grosset
, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao
, James P. Ahrens
:
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. IPDPS 2020: 105-115 - [c69]Gregory D. Abram, Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens
:
ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization. IPDPS 2020: 515-526 - [c68]Petar Hristov, Gunther H. Weber
, Hamish A. Carr, Oliver Rübel, James P. Ahrens
:
Data Parallel Hypersweeps for in Situ Topological Analysis. LDAV 2020: 12-21 - [c67]Jonas Lukasczyk, Christoph Garth
, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens
, Ross Maciejewski:
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. LDAV 2020: 37-41 - [c66]Pascal Grosset
, Jesus Pulido
, James P. Ahrens
:
Personalized In Situ Steering for Analysis and Visualization. ISAV@SC 2020: 1-6 - [c65]Pascal Grosset
, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan
, Ayan Biswas
, John Patchett, Terece L. Turton
, David H. Rogers, Daniel Livescu
, James P. Ahrens
:
Foresight: analysis that matters for data reduction. SC 2020: 83 - 2018
- [c64]Christina Gillmann, Thomas Wischgoll, Bernd Hamann, James P. Ahrens
:
Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions. PacificVis 2018: 106-110 - [c63]Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen
, James Paul Ahrens
:
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. IEEE BigData 2018: 1737-1746 - [c62]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens
, Trilce Estrada
:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. IEEE BigData 2018: 1899-1904 - [c61]Divya Banesh, Joanne Wendelberger, Mark R. Petersen, James P. Ahrens
, Bernd Hamann:
Change Point Detection for Ocean Eddy Analysis. EnvirVis@EuroVis 2018: 27-33 - [c60]Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel
, Tim Randles, Zizhong Chen
, James P. Ahrens
:
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. ICDCS 2018: 1029-1038 - [c59]Jonas Lukasczyk, Eric Kinner, James P. Ahrens
, Heike Leitte
, Christoph Garth
:
VOIDGA: A View-Approximation Oriented Image Database Generation Approach. LDAV 2018: 12-22 - [c58]Greg Abram, Paul A. Navrátil
, Pascal Grossett
, David H. Rogers, James P. Ahrens
:
Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization. LDAV 2018: 72-76 - [c57]Ayan Biswas
, Soumya Dutta
, Jesus Pulido, James P. Ahrens
:
In situ data-driven adaptive sampling for large-scale simulation data summarization. ISAV@SC 2018: 13-18 - [c56]Max Zeyen, Tobias Post, Hans Hagen, James P. Ahrens
, David H. Rogers, Roxana Bujack:
Color Interpolation for Non-Euclidean Color Spaces. SciVis 2018: 11-15 - [c55]Roxana Bujack, Terece L. Turton
, David H. Rogers, James P. Ahrens
:
Ordering Perceptions about Perceptual Order. SciVis 2018: 32-36 - [c54]Ayan Biswas
, Kelly R. Moran, Earl Lawrence, James P. Ahrens
:
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. SciVis 2018: 47-51 - [c53]Petra Gospodnetic
, Divya Banesh, Phillip Wolfram, Mark R. Petersen, Hans Hagen, James P. Ahrens
, Markus Rauhut:
Ocean Current Segmentation at Different Depths and Correlation with Temperature in a MPAS-Ocean Simulation. SciVis 2018: 62-66 - 2017
- [c52]Soumya Dutta
, Jonathan Woodring, Han-Wei Shen, Jen-Ping Chen, James P. Ahrens
:
Homogeneity guided probabilistic data summaries for analysis and visualization of large-scale data sets. PacificVis 2017: 111-120 - [c51]Jonathan Woodring, James P. Ahrens
, John Patchett, Cameron Tauxe, David H. Rogers:
High-dimensional scientific data exploration via cinema. DSIA 2017: 1-5 - [c50]Divya Banesh, Joseph A. Schoonover, James P. Ahrens
, Bernd Hamann:
Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments. EnvirVis@EuroVis 2017: 43-47 - [c49]Anne S. Berres
, Terece L. Turton
, Mark R. Petersen, David H. Rogers, James P. Ahrens
:
Video Compression for Ocean Simulation Image Databases. EnvirVis@EuroVis 2017: 49-53 - [c48]Vignesh Adhinarayanan
, Wu-chun Feng, David H. Rogers, James P. Ahrens
, Scott Pakin:
Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization. IPDPS 2017: 978-987 - [c47]John M. Patchett
, Boonthanome Nouanesengsy, Joachim Pouderoux, James P. Ahrens
, Hans Hagen:
Parallel multi-layer ghost cell generation for distributed unstructured grids. LDAV 2017: 84-91 - [c46]Max Zeyen, James P. Ahrens
, Hans Hagen, Katrin Heitmann, Salman Habib:
Cosmological Particle Data Compression in Practice. ISAV@SC 2017: 12-16 - [c45]Matthew Larsen, James P. Ahrens
, Utkarsh Ayachit, Eric Brugger, Hank Childs, Berk Geveci, Cyrus Harrison:
The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman. ISAV@SC 2017: 42-46 - [c44]Terece L. Turton
, Anne S. Berres
, David H. Rogers, James P. Ahrens:
ETK: An Evaluation Toolkit for Visualization User Studies. EuroVis (Short Papers) 2017: 43-47 - [c43]John M. Patchett, Boonthanome Nouanesengsy, Galen Gisler, James P. Ahrens, Hans Hagen:
In Situ and Post Processing Workflows for Asteroid Ablation Studies. EuroVis (Short Papers) 2017: 61-65 - 2016
- [c42]Colin Ware, Daniel Bolan, Ricky Miller, David H. Rogers, James P. Ahrens
:
Animated versus static views of steady flow patterns. SAP 2016: 77-84 - [c41]Francesca Samsel
, Sebastian Klaassen
, Mark R. Petersen, Terece L. Turton
, Gregory D. Abram, David H. Rogers, James P. Ahrens
:
Interactive Colormapping: Enabling Multiple Data Range and Detailed Views of Ocean Salinity. CHI Extended Abstracts 2016: 700-709 - [c40]Colin Ware, David H. Rogers, Mark R. Petersen, James P. Ahrens, Erol Aygar:
Optimizing for Visual Cognition in High Performance Scientific Computing. HVEI 2016: 1-9 - [c39]Hamish A. Carr, Gunther H. Weber
, Christopher M. Sewell, James P. Ahrens
:
Parallel peak pruning for scalable SMP contour tree computation. LDAV 2016: 75-84 - [c38]Hamish A. Carr, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
:
Hybrid Data-Parallel Contour Tree Computation. CGVC 2016: 73-80 - 2015
- [c37]Francesca Samsel
, Mark R. Petersen, Terece Geld, Greg Abram, Joanne Wendelberger, James P. Ahrens
:
Colormaps that Improve Perception of High-Resolution Ocean Data. CHI Extended Abstracts 2015: 703-710 - [c36]Vignesh Adhinarayanan
, Wu-chun Feng, Jonathan Woodring, David H. Rogers, James P. Ahrens
:
On the Greenness of In-Situ and Post-Processing Visualization Pipelines. IPDPS Workshops 2015: 880-887 - [c35]Christopher M. Sewell, Li-Ta Lo, Katrin Heitmann, Salman Habib, James P. Ahrens
:
Utilizing many-core accelerators for halo and center finding within a cosmology simulation. LDAV 2015: 91-98 - [c34]Christopher M. Sewell, Katrin Heitmann, Hal Finkel, George Zagaris, Suzanne Parete-Koon
, Patricia K. Fasel, Adrian Pope, Nicholas Frontiere, Li-Ta Lo, O. E. Bronson Messer
, Salman Habib, James P. Ahrens
:
Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach. SC 2015: 50:1-50:11 - [c33]Wathsala Widanagamaachchi, Karl D. Hammond
, Li-Ta Lo, Brian Wirth
, Francesca Samsel
, Christopher M. Sewell, James P. Ahrens
, Valerio Pascucci:
Visualization and Analysis of Large-Scale Atomistic Simulations of Plasma-Surface Interactions. EuroVis (Short Papers) 2015: 7-11 - 2014
- [c32]Wathsala Widanagamaachchi, Peer-Timo Bremer, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
, Valerio Pascucci:
Data-parallel halo finding with variable linking lengths. LDAV 2014: 27-34 - [c31]Boonthanome Nouanesengsy, Jonathan Woodring, John Patchett, Kary L. Myers
, James P. Ahrens
:
ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement. LDAV 2014: 43-50 - [c30]James P. Ahrens
, Sébastien Jourdain
, Patrick O'Leary, John Patchett, David H. Rogers, Mark R. Petersen
:
An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis. SC 2014: 424-434 - 2013
- [c29]Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers
, Joanne Wendelberger
, James P. Ahrens:
Taming massive distributed datasets: data sampling using bitmap indices. HPDC 2013: 13-24 - [c28]Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
:
Portable data-parallel visualization and analysis in distributed memory environments. LDAV 2013: 25-33 - [c27]Jonathan Woodring, James P. Ahrens
, Timothy J. Tautges, Tom Peterka, Venkatram Vishwanath, Berk Geveci:
On-demand unstructured mesh translation for reducing memory pressure during in situ analysis. UltraVis@SC 2013: 3:1-3:8 - [c26]Boonthanome Nouanesengsy, John Patchett, James P. Ahrens
, Andrew C. Bauer, Aashish Chaudhary
, Ross Miller, Berk Geveci, Galen M. Shipman, Dean N. Williams:
A model for optimizing file access patterns using spatio-temporal parallelism. UltraVis@SC 2013: 4:1-4:8 - 2012
- [c25]Uliana Popov, Eddy Chandra, Katrin Heitmann, Salman Habib, James P. Ahrens
, Alex Pang:
Analyzing the evolution of large scale structures in the universe with velocity based methods. PacificVis 2012: 49-56 - [c24]Li-Ta Lo, Christopher M. Sewell, James P. Ahrens:
PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators. EGPGV@Eurographics 2012: 11-20 - [c23]Carson Brownlee, John Patchett, Li-Ta Lo, David E. DeMarle, Christopher Mitchell, James P. Ahrens, Charles D. Hansen:
A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications. EGPGV@Eurographics 2012: 51-60 - [c22]John Bent, Sorin Faibish, Jim Ahrens
, Gary Grider, John Patchett, Percy Tzelnic, Jon Woodring:
Jitter-free co-processing on a prototype exascale storage stack. MSST 2012: 1-5 - [c21]Christopher M. Sewell, Jeremy S. Meredith, Kenneth Moreland, Tom Peterka, David E. DeMarle, Li-Ta Lo, James P. Ahrens
, Robert Maynard, Berk Geveci:
The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-Core and Many-Core Architectures. SC Companion 2012: 206-214 - [c20]Christopher M. Brislawn, Jonathan Woodring, Susan M. Mniszewski
, David E. DeMarle, James P. Ahrens
:
Subband coding for large-scale scientific simulation data using JPEG 2000. SSIAI 2012: 201-204 - 2011
- [c19]Boonthanome Nouanesengsy, James P. Ahrens, Jonathan Woodring, Han-Wei Shen:
Revisiting Parallel Rendering for Shared Memory Machines. EGPGV@Eurographics 2011: 31-40 - [c18]Christopher Mitchell, James P. Ahrens
, Jun Wang
:
VisIO: Enabling Interactive Visualization of Ultra-Scale, Time Series Data via High-Bandwidth Distributed I/O Systems. IPDPS 2011: 68-79 - [c17]Jonathan Woodring, Susan M. Mniszewski
, Christopher M. Brislawn, David E. DeMarle, James P. Ahrens
:
Revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision. LDAV 2011: 31-38 - 2010
- [c16]Chung-Hsing Hsu, James P. Ahrens
, Katrin Heitmann:
Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization. PacificVis 2010: 81-88 - 2008
- [c15]Emanuele Santos, Lauro Didier Lins, James P. Ahrens
, Juliana Freire, Cláudio T. Silva:
A First Study on Clustering Collections of Workflow Graphs. IPAW 2008: 160-173 - 2007
- [c14]James P. Ahrens
, Nehal Desai, Patrick S. McCormick, Ken Martin, Jonathan Woodring:
A modular extensible visualization system architecture for culled prioritized data streaming. Visualization and Data Analysis 2007: 64950I - 2006
- [c13]Andy Cedilnik, Berk Geveci, Kenneth Moreland, James P. Ahrens, Jean M. Favre:
Remote Large Data Visualization in the ParaView Framework. EGPGV@EuroVis/EGVE 2006: 163-170 - [c12]James P. Ahrens
, Hank Childs, John P. Clyne
, Wes Bethel, Jian Huang, Scott Klasky, Kwan-Liu Ma, Kenneth Moreland, Michael E. Papka
, Valerio Pascucci, Han-Wei Shen, Deborah Silver:
Ultra-scale visualization - Workshop on ultra-scale visualization. SC 2006: 235 - 2005
- [c11]Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens
:
Time-varying, multivariate volume data reduction. SAC 2005: 1224-1230 - 2004
- [c10]Patrick S. McCormick, Jeff T. Inman, James P. Ahrens, Charles D. Hansen, Greg Roth:
Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis. IEEE Visualization 2004: 171-178 - 2003
- [c9]Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, James P. Ahrens, John Patchett:
SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003: 33-40 - [c8]E. Wes Bethel, Greg Abram, John Shalf, Randy Frank, James P. Ahrens, Steven G. Parker, Nagiza F. Samatova, Mark C. Miller:
Interoperability of Visualization Software and Data Models is NOT an Achievable Goal. IEEE Visualization 2003: 607-610 - 2001
- [c7]C. Charles Law, Amy Henderson, James P. Ahrens:
An application architecture for large data visualization: a case study. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2001: 125-128 - 2000
- [c6]James P. Ahrens, Kai Li, Daniel A. Reed:
Next-generation visualization displays: the research challenges of building tiled displays (panel session). IEEE Visualization 2000: 527-529 - 1999
- [c5]James P. Ahrens, Patrick S. McCormick, Allen McPherson, Jamie Painter:
An Evolving Infrastructure to Support Accelerated Strategic Computing Initiative (ASCI) Multi-Source Visualization and Data Analysis Needs. PP 1999 - 1998
- [c4]Samuel P. Uselton, Lloyd Treinish, James P. Ahrens, E. Wes Bethel, Andrei State:
Multi-source data analysis challenges. IEEE Visualization 1998: 501-504 - 1997
- [c3]James P. Ahrens, Patrick S. McCormick, James Bossert, Jon Reisner, Judith Winterkamp:
Wildfire visualization (case study). IEEE Visualization 1997: 451-454 - 1995
- [c2]James P. Ahrens, Charles D. Hansen:
Cost-Effective Data-Parallel Load Balancing. ICPP (2) 1995: 218-221 - 1993
- [c1]Frank A. Ortega, Charles D. Hansen, James P. Ahrens
:
Fast data parallel polygon rendering. SC 1993: 709-718
Parts in Books or Collections
- 2012
- [p4]Utkarsh Ayachit, Berk Geveci, Kenneth Moreland, John Patchett, Jim Ahrens:
The ParaView Visualization Application. High Performance Visualization 2012 - [p3]David E. DeMarle, Berk Geveci, Jon Woodring, Jim Ahrens:
Streaming and Out-of-Core Methods. High Performance Visualization 2012 - 2005
- [p2]Patrick S. McCormick, James P. Ahrens
:
Large-Scale Data Visualization and Rendering: A Problem-Driven Approach. The Visualization Handbook 2005: 533-549 - [p1]James P. Ahrens
, Berk Geveci, C. Charles Law:
ParaView: An End-User Tool for Large-Data Visualization. The Visualization Handbook 2005: 717-731
Editorship
- 2015
- [e3]James P. Ahrens, Huamin Qu, Jos B. T. M. Roerdink:
2015 IEEE Scientific Visualization Conference, SciVis 2015, Chicago, IL, USA, October 25-30, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-9785-8 [contents] - 2010
- [e2]James P. Ahrens, Kurt Debattista, Renato Pajarola:
10th Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@Eurographics 2010, Norrköping, Sweden, May 2-3, 2010. Eurographics Association 2010, ISBN 978-3-905674-21-7 [contents] - 1999
- [e1]James P. Ahrens, Alan Chalmers, Han-Wei Shen:
Proceedings of the 1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999, San Francisco, California, USA, October 25-26, 1999. IEEE Computer Society 1999, ISBN 978-1-58113-237-3 [contents]
Informal and Other Publications
- 2024
- [i16]Di Fan, Ayan Biswas, James Paul Ahrens:
Explainable AI Integrated Feature Engineering for Wildfire Prediction. CoRR abs/2404.01487 (2024) - [i15]Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao:
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. CoRR abs/2407.04267 (2024) - 2023
- [i14]Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. CoRR abs/2301.01901 (2023) - [i13]Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR abs/2307.09609 (2023) - [i12]Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski:
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. CoRR abs/2308.11724 (2023) - [i11]Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao:
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. CoRR abs/2309.16980 (2023) - 2022
- [i10]Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren:
In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations. CoRR abs/2201.02557 (2022) - [i9]Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao:
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. CoRR abs/2204.00711 (2022) - 2021
- [i8]Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. CoRR abs/2104.00178 (2021) - 2020
- [i7]Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. CoRR abs/2004.00224 (2020) - [i6]Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski:
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. CoRR abs/2010.03936 (2020) - 2019
- [i5]Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. CoRR abs/1907.11762 (2019) - [i4]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - 2018
- [i3]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. CoRR abs/1806.07382 (2018) - 2017
- [i2]Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens:
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. CoRR abs/1712.06790 (2017) - 2013
- [i1]Christopher M. Brislawn, Jonathan Woodring, Susan M. Mniszewski, David E. DeMarle, James P. Ahrens:
Subband coding for large-scale scientific simulation data using JPEG 2000. CoRR abs/1310.2289 (2013)
Coauthor Index
aka: Pascal Grossett
aka: John M. Patchett
aka: Jon Woodring
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